Hamidullah Binol
Hamidullah Binol
Data Scientist
Verified email at wakehealth.edu
Cited by
Cited by
Recognition of the stomach cancer images with probabilistic HOG feature vector histograms by using HOG features
SA Korkmaz, A Akçiçek, H Bínol, MF Korkmaz
2017 IEEE 15th International Symposium on Intelligent Systems and …, 2017
Time Optimal Multi-UAV Path Planning for Gathering ITS Data from Roadside Units
H Binol, E Bulut, K Akkaya, I Guvenc
IEEE Vehicular Technology Conference (VTC), 2018
Classification of molecular structure images by using ANN, RF, LBP, HOG, and size reduction methods for early stomach cancer detection
SA Korkmaz, H Binol
Journal of Molecular Structure 1156, 255-263, 2018
A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN
SA Korkmaz, H Bínol, A Akçiçek, MF Korkmaz
2017 IEEE 15th International Symposium on Intelligent Systems and …, 2017
Kernel Fukunaga–Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes
H Binol, G Bilgin, S Dinc, A Bal
IEEE Geoscience and Remote Sensing Letters 12 (6), 1287-1291, 2015
Ros-NET: A Deep Convolutional Neural Network for Automatic Identification of Rosacea Lesions
H Binol, A Plotner, J Sopkovich, B Kaffenberger, MKK Niazi, MN Gurcan
Skin Research and Technology 26 (3), 413-421, 2020
Improving SVDD Classification Performance on Hyperspectral Images Via Correlation Based Ensemble Technique
FS Uslu, H Binol, M Ilarslan, A Bal
Optics and Lasers in Engineering 89, 169-177, 2017
Target Oriented Dimensionality Reduction of Hyperspectral Data by Kernel Fukunaga-Koontz Transform
H Binol, S Ochilov, MS Alam, A Bal
Optics and Lasers in Engineering 89, 123-130, 2017
Ensemble learning based multiple kernel principal component analysis for dimensionality reduction and classification of hyperspectral imagery
H Binol
Mathematical Problems in Engineering 2018, 2018
New methods based on mRMR_LSSVM and mRMR_KNN for diagnosis of breast cancer from microscopic and mammography images of some patients
SA Korkmaz, M Poyraz, A Bal, H Binol, IH Özercan, MF Korkmaz, ...
International Journal of Biomedical Engineering and Technology 19 (2), 105-117, 2015
Decision fusion on image analysis and tympanometry to detect eardrum abnormalities
H Binol, AC Moberly, MKK Niazi, G Essig, J Shah, C Elmaraghy, T Teknos, ...
SPIE Medical Imaging: Computer-Aided Diagnosis, 2020
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet
A Kumbhar, H Binol, I Guvenc, K Akkaya
IEEE Radio Wireless Symposium (RWS), 2019
Differential evolution algorithm-based kernel parameter selection for Fukunaga-Koontz Transform subspaces construction
H Binol, A Bal, H Cukur
High-Performance Computing in Remote Sensing V 9646, 96460T, 2015
Digital otoscopy videos versus composite images: A reader study to compare the accuracy of ENT physicians
H Binol, MKK Niazi, G Essig, J Shah, JK Mattingly, MS Harris, ...
The Laryngoscope, 2020
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning based Rosacea lesion identification
H Binol, MKK Niazi, A Plotner, J Sopkovich, B Kaffenberger, MN Gurcan
SPIE Medical Imaging: Computer-Aided Diagnosis, 2020
Unsupervised Nonlinear Feature Extraction Method and Its Effects on Target Detection in High-dimensional Data
H Binol, FS Uslu, A Bal
International Conference on Engineering, Technology and Applied Science (ICETA), 2015
SelectStitch: Automated Frame Segmentation and Stitching to Create Composite Images from Otoscope Video Clips
H Binol, AC Moberly, MKK Niazi, G Essig, J Shah, C Elmaraghy, T Teknos, ...
Appl. Sci. 10 (17), 5894, 2020
Hybrid evolutionary search method for complex function optimization problems
H Binol, I Guvenc, E Bulut, K Akkaya
Electronics Letters, 2018
Classification on hyperspectral images using enhanced covariance descriptor
H Binol, A Bal, S Dinc
2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012
A supervised discriminant subspaces-based ensemble learning for binary classification
H Binol, H Cukur, A Bal
International Journal of Advanced Computer Research 6 (27), 209-214, 2016
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